Trait CosineEstimator

pub trait CosineEstimator {
    // Required method
    fn model_cosine(
        &self,
        predictors: &[f64],
        outcomes: &[f64],
        max_frequency: f64,
    ) -> CosineCoefficients;

    // Provided method
    fn boxed_cosine(self) -> Box<dyn CosineEstimator>
       where Self: Sized + 'static { ... }
}

Available on crate feature regression only.

Implemented by all estimators yielding a cosine wave.

Required Methods

fn model_cosine( &self, predictors: &[f64], outcomes: &[f64], max_frequency: f64, ) -> CosineCoefficients

Model the CosineCoefficients from predictors and outcomes.

Panics

The two slices must have the same length.

Provided Methods

fn boxed_cosine(self) -> Box<dyn CosineEstimator>

where Self: Sized + 'static,

Put this estimator in a box. This is useful for conditionally choosing different estimators.

Implementations on Foreign Types

impl<T: CosineEstim